Package: flexCWM 1.92
Angelo Mazza
flexCWM: Flexible Cluster-Weighted Modeling
Allows maximum likelihood fitting of cluster-weighted models, a class of mixtures of regression models with random covariates. Methods are described in Angelo Mazza, Antonio Punzo, Salvatore Ingrassia (2018) <doi:10.18637/jss.v086.i02>.
Authors:
flexCWM_1.92.tar.gz
flexCWM_1.92.tar.gz(r-4.5-noble)flexCWM_1.92.tar.gz(r-4.4-noble)
flexCWM_1.92.tgz(r-4.4-emscripten)flexCWM_1.92.tgz(r-4.3-emscripten)
flexCWM.pdf |flexCWM.html✨
flexCWM/json (API)
| # Install 'flexCWM' in R: |
| install.packages('flexCWM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:1e000d9751. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 13 2024 |
| R-4.5-linux | NOTE | Oct 13 2024 |
Exports:cwmgetBestModelgetClustergetICgetPargetParConcomitantgetParGLMgetParPriorgetParXbingetParXmultgetParXnormgetParXpoisgetPosteriorgetSizestudent.twhichBest
Dependencies:BHcaretclasscliclockcodetoolscolorspaceContaminatedMixtcpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmgcvmixturemnormtModelMetricsmunsellmvtnormnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadilloRcppGSLrecipesreshape2rlangrpartscalesshapeSQUAREMstatmodstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| flexCWM - Flexible Cluster Weighted Modeling | flexCWM-package |
| Fit for the CWM | cwm student.t |
| dataset ExCWM | ExCWM |
| Extractors for 'cwm' class objects. | getBestModel getCluster getIC getPar getParConcomitant getParGLM getParPrior getParXbin getParXmult getParXnorm getParXpois getPosterior getSize print.cwm print.cwm.IC summary.cwm whichBest |
| Plot for CWMs | plot.cwm |
| dataset students | students |